TY - JOUR
T1 - Use of fNIRS to assess resting state functional connectivity
AU - Lu, Chun Ming
AU - Zhang, Yu Jin
AU - Biswal, Bharat B.
AU - Zang, Yu Feng
AU - Peng, Dan Ling
AU - Zhu, Chao Zhe
N1 - Funding Information:
This work was supported by the National Key Basic Research and Development Program (973) Grant No. 2003CB716101, and the Natural Science Foundation of China (NSFC) (30970773) and (30900393).
PY - 2010/2/15
Y1 - 2010/2/15
N2 - Recently, resting state functional connectivity (RSFC) studies based on fMRI and EEG/MEG have provided valuable insight into the intrinsic functional architecture of the human brain. However, whether functional near infrared spectroscopy (fNIRS), a suitable imaging method for infant and patient populations, can be used to examine RSFC remains elusive. Using an ETG-4000 Optical Topography System, the present study measured 29 adult subjects (14 females) over the sensorimotor and auditory cortexes during a resting session and a motor-localizer task session. The RSFC maps were computed by seed-based correlation analysis and data-driven cluster analysis. The results from both analyses showed robust RSFC maps, which were not only consistent with the localizer task-related activation results, but also those of previous fMRI findings. Moreover, the strong consistency between the seed-based correlation analysis and the data-driven cluster analysis further validated the use of fNIRS to assess RSFC. The potential influence of a specific low-frequency filtering range (0.04-0.15 Hz and 0.01-0.08 Hz) and three fNIRS parameters (oxy-Hb, deoxy-Hb, and total-Hb) on RSFC results were also examined.
AB - Recently, resting state functional connectivity (RSFC) studies based on fMRI and EEG/MEG have provided valuable insight into the intrinsic functional architecture of the human brain. However, whether functional near infrared spectroscopy (fNIRS), a suitable imaging method for infant and patient populations, can be used to examine RSFC remains elusive. Using an ETG-4000 Optical Topography System, the present study measured 29 adult subjects (14 females) over the sensorimotor and auditory cortexes during a resting session and a motor-localizer task session. The RSFC maps were computed by seed-based correlation analysis and data-driven cluster analysis. The results from both analyses showed robust RSFC maps, which were not only consistent with the localizer task-related activation results, but also those of previous fMRI findings. Moreover, the strong consistency between the seed-based correlation analysis and the data-driven cluster analysis further validated the use of fNIRS to assess RSFC. The potential influence of a specific low-frequency filtering range (0.04-0.15 Hz and 0.01-0.08 Hz) and three fNIRS parameters (oxy-Hb, deoxy-Hb, and total-Hb) on RSFC results were also examined.
KW - Low-frequency fluctuation
KW - Resting state functional connectivity
KW - fNIRS
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U2 - 10.1016/j.jneumeth.2009.11.010
DO - 10.1016/j.jneumeth.2009.11.010
M3 - Article
C2 - 19931310
AN - SCOPUS:74149091646
SN - 0165-0270
VL - 186
SP - 242
EP - 249
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
IS - 2
ER -